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It means if security agencies were to obtain search records from Google, individuals could easily be tracked and users seeking out information banned by the government could potentially be at risk.
Launched in 2014, "Inbox" was introduced as an innovative new email app that lived alongside Gmail and served as an experimental platform for Google to try newer mailing features
'As an immigrant and a refugee, I certainly find this election deeply offensive. I know many of you do, too,' Google co-founder Sergey Brin said in the video.
With 'Neighbourly', we are able to address the local information needs of India's fast-growing internet users in their neighbourhood.
The Reserve Bank of India has directed all companies running payment services to store data in India by mid-October.
The app allows the bloggers to manage their site and find topics of relevance based on their interests and posting history.
The "Launchpad Studio" programme commenced from September 6 at Google's headquarters in San Francisco and will last for a period of four months.
The exact date of the company's founding is up for debate -- even for those who are in the business of providing answers.
This move comes after the The Wall Street Journal reported that scammers were purchasing search ads and "masquerading as authorised service agents for companies such as Apple Inc".
A techie working with Google and an elderly couple were killed in two separate accidents at Petbasheerabad and Pahadishareef respectively on Saturday.
The novel model opens up possibilities for finding potential physical theories that may allow us to better understand natural phenomena.
The plan is to use Google maps and try and locate all the existing fire stations in the city, and clusters of buildings and properties nearby.
Machine learning-based forecasts may, one day, help deploy emergency services and inform evacuation plans for areas at risk of an aftershock, she added.
Credit Suisse estimates that the Indian digital payments market will touch $1 trillion by 2023 from about $200 billion currently.
Researchers from the University of Michigan in the US who developed the system have demonstrated that it is comparable to and sometimes better than humans at correctly identifying fake news stories.